Posts

Basic Loudspeaker Measurement Seminar (China) / 扬声器测试基础篇

Oct 13th, 2021. 10.00am China Time / 2021 年 10 月 13 日上午 10 点(中国时间)

Join Les Quindipan and Anastassia Tolpygo on Oct 13th for a seminar on basic loudspeaker testing. This introductory seminar is aimed at anyone new to audio measurement, specifically loudspeaker testing. It will begin with an introduction to the basic design of a loudspeaker, including how a typical loudspeaker works. Various loudspeaker measurements will be explained, such as frequency response, distortion, sensitivity, phase/polarity and impedance, and how they might offer indications as to potential defects in a speaker. Typical test configurations for both R&D and end-of-line production test will be shown. A complete speaker test will be demonstrated, using SoundCheck and our free Loudspeaker complete test sequence. This will include setting up software and hardware, calibrating and configuring the test (e.g. setting pass/fail limits) and a discussion of the results. There is no charge for this seminar, but registration is required.

于10 月 13 日加入Les Quindipan 和 Anastassia Tolpygo主持的有关基础扬声器测试的研讨会吧。

此研讨会目的是向任何不熟悉音频测量的人介绍一下音频测量, 特别是扬声器测试。在研讨会中,首先会介绍扬声器的基本设计, 包括典型扬声器的工作原理。并将解释各种扬声器测量,例如频率响应、失真、灵敏度、相位/极性和阻抗, 以及扬声器测试如何提供有关扬声器潜在缺陷的指示。研讨会将展示用于研发和下线生产测试的典型测试配置。

在研讨会中将演示完整的扬声器测试。使用 SoundCheck 和我们免费的扬声器完整测试程序。这将包括设置软件和硬件、校准和配置测试(例如设置通过/失败限制)以及对结果的讨论。本次研讨会不收取任何费用,但需要预先报名。

Register for Seminar / 报名参加研讨会

Evaluation of audio test methods and measurements for end-of-line loudspeaker quality control

In order to minimize costly warranty repairs, loudspeaker OEMS impose tight specifications and a “total quality” requirement on their part suppliers. At the same time, they also require low prices. This makes it important for driver manufacturers and contract manufacturers to work with their OEM customers to define reasonable specifications and tolerances. They must understand both how the loudspeaker OEMS are testing as part of their incoming QC and also how to implement their own end-of-line measurements to ensure correlation between the two.

Authors: Steve Temme, Listen, Inc. and Viktor Dobos, Harman/Becker Automotive Systems Kft.
Presented at ISEAT 2017, Shenzhen, China

Full Paper

In-Vehicle Distortion Measurement

Authors: Zarina Bhimani, Steve F. Temme (Listen, Inc.), Patrick Dennis (Nissan Motor Co.).  Reprinted from the 2017 Loudspeaker Industry Sourcebook.

Steve Temme and Patrick Dennis discuss their research exploring test methods that will help determine audible distortion and enable manufacturers to test sound equipment after it is installed

Full Article

 

 

New Speaker Testing Brochure

lisBrochureSpeakers.inddA new 4 page brochure outlines Listen’s capabilities in loudspeaker and  microspeaker testing. SoundCheck offers simple, fast and accurate testing of any loudspeaker – no matter what the form  factor, functionality, connector or additional features. It measures a full range of driver parameters via traditional analog or digital, wireless/Bluetooth, Toslink, HDMI or USB connections, as well as microphone performance, surround sound and more.
Measurements that SoundCheck can make include:

  • Frequency response
  • Phase & polarity
  • Distortion: harmonic, IM, multitone & non-coherent
  • Rub & Buzz (inc. Perceptual Rub & Buzz)
  • Impedance
  • Directivity (including polar plots)
  • Max SPL
  • Power rating tests
  • Simulated free field measurements
  • Thiele-Small parameters
  • Time-frequency analysis

Download brochure    download_pdf_icon

Measurement of Harmonic Distortion Audibility Using A Simplified Psychoacoustic Model

A perceptual method is proposed for measuring harmonic distortion audibility. This method is similar to the CLEAR (Cepstral Loudness Enhanced Algorithm for Rub & buzz) algorithm previously proposed by the authors as a means of detecting audible Rub & Buzz which is an extreme type of distortion[1,2]. Both methods are based on the Perceptual Evaluation of Audio Quality (PEAQ) standard[3]. In the present work, in order to estimate the audibility of regular harmonic distortion, additional psychoacoustic variables are added to the CLEAR algorithm. These variables are then combined using an artificial neural network approach to derive a metric that is indicative of the overall audible harmonic distortion. Experimental results on headphones are presented to justify the accuracy of the model.

Authors: Steve Temme, Pascal Brunet and Parastoo Qarabaqi
Presented at the 131th AES Convention, San Francisco, 2012

Full Paper